Renewable Energy Resource Assessment and Forecasting

• Format: eBook
• Language: English
• Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
• Subjects: ANFIS; anthropogenic waste processing; biofuel; biomass; biotechnology; central solar receiver; clearness coefficient; climate policy; complex terrain; concentrated solar; concentrating solar power; cross border trading; deep learning; deformable models; developing countries; different horizontal resolution; direct normal irradiance; economic efficiency; electric energy demand; electricity trading; energy; energy resource assessment; forecast; forecast errors; forecasting; functional statistics; global horizontal irradiance (GHI); Granger causality; heat supply of industrial processes; high-resolution; Kalman filtering; Kalman-Bayesian filter; Markov chains; momentum sink; nowcasting; numerical weather prediction model; open channel flows; operational strategies; particle swarm optimization; photovoltaic solar energy; prediction; ramp rates; Reference, Information and Interdisciplinary subjects; renewable energy; renewable energy forecasting; renewable energy sources; Research and information: general; risk analysis; shape-invariant model; shark algorithm; shock-capturing capability; short-term forecasts; solar collectors; solar irradiance forecasts; solar irradiation; solar radiation; solar resource; spot prices; sustainable development; system advisor model; the European Green Deal; thermochemical; thrust force coefficient; tidal-stream energy; unbounded flow; validation; weather research and forecasting model; wind; WRF
• ISBN: 3039430874; 9783039430871; 3039430866; 9783039430864
• DOI: 10.3390/books978-3-03943-087-1

In recent years, several projects and studies have been launched towards the development and use of new methodologies, in order to assess, monitor, and support clean forms of energy. Accurate estimation of the available energy potential is of primary importance, but is not always easy to achieve. The present Special Issue on ‘Renewable Energy Resource Assessment and Forecasting’ aims to provide a holistic approach to the above issues, by presenting multidisciplinary methodologies and tools that are able to support research projects and meet today’s technical, socio-economic, and decision-making needs. In particular, research papers, reviews, and case studies on the following subjects are presented: wind, wave and solar energy; biofuels; resource assessment of combined renewable energy forms; numerical models for renewable energy forecasting; integrated forecasted systems; energy for buildings; sustainable development; resource analysis tools and statistical models; extreme value analysis and forecasting for renewable energy resources.